To prepare for and recover from damage due to wildfires, it is necessary to investigate and analyze the impacts of wildfires. To date, various wildfire research methodologies have been conducted ... Read More

Recent research studies on land cover classification using hyperspectral imagery have focused on diversifying classification classes of land cover as well as improving the accuracy of classificat ... Read More

With the development of synthetic aperture radar (SAR) technology, SAR images are being widely applied, such as in SAR image fusion and transformation detection, where image matching is a key pro ... Read More

Current infrastructure maintenance works face limitations for various reasons: insufficient budget, increasing number of infrastructure facilities requiring maintenance, shortage of labor, and ra ... Read More

Point cloud data obtained by unmanned aerial vehicle (UAV) photogrammetry were used as the basis for creating a 3D model. In this study, we calculated earthwork volume using a 3D model based on s ... Read More

Unmanned aerial vehicle (UAV) autopilot flight requires a specific altitude when inspecting defective urban solar panels to avoid obstacles such as high-rise buildings, trees, and telegraph poles ... Read More

Fog is formed when water vapor in the atmosphere condenses into miniscule floating water droplets, rendering a visibility of less than 1 km. Fog causes economic damage and poses a hazard to peopl ... Read More

The steep gradient of artificial slopes on forest roads reduces the natural survival rate of vegetation. Uncovered vegetation slopes are exposed, resulting in soil displacement including soil ero ... Read More

As interest in autonomous driving has increased in recent years, various sensors have been developed for use in vehicles to detect and classify traffic signs. When road traffic facilities are not ... Read More

Deep learning technologies that use road images to recognize autonomous driving environments have been actively developed. Such deep-learning-based autonomous driving technologies need a large am ... Read More

The development of underground spaces such as tunnels, subways, logistics warehouses, and complex facilities is continuing. However, owing to poor planning and reckless expansion, there has also ... Read More

Different types of fire accidents in the urban area of Seoul, Korea are continuously occurring, causing risk and damage to property and life. In this study, we analyze various spatial and non-spa ... Read More

Owing to the proliferation of people in cities worldwide, the size of urban green areas has decreased along with biodiversity. Suwon City, a highly populated area adjacent to Seoul, the capital o ... Read More

Fires in urban areas lead to enormous financial and human losses because cities have high densities of people and buildings. Although a recent advanced IoT technology improves early fire detectio ... Read More

In this study, we present a logical spatial data model according to the International Organization for Standardization (ISO) 19109 targeting nine types of underground utilities (wide-area water, ... Read More